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Overfitting Control for Surface Reconstruction

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44901

Lee,  Yunjin
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44899

Lee,  Seungyong
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44685

Ivrissimtzis,  Ioannis
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

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Zitation

Lee, Y., Lee, S., Ivrissimtzis, I., & Seidel, H.-P. (2006). Overfitting Control for Surface Reconstruction. In SGP 2006 : Fourth Eurographics Symposium on Geometry Processing (pp. 231-234). Aire-la-Ville, Switzerland: Eurographics.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-23AD-1
Zusammenfassung
This paper proposes a general framework for overfitting control in surface reconstruction from noisy point data. The problem we deal with is how to create a model that will capture as much detail as possible and simultaneously avoid reproducing the noise of the input points. The proposed framework is based on extra-sample validation. It is fully automatic and can work in conjunction with any surface reconstruction algorithm. We test the framework with a Radial Basis Function algorithm, Multi-level Partition of Unity implicits, and the Power Crust algorithm.